Neuro-dynamic programming approach to optimal control of spreading of dengue viruses

被引：0
作者：
Putri, Anindiati Praminto [1 ]
Hartono [2 ]
机构：
[1] Sanata Dharma Univ, Dept Math Educ, Yogyakarta, Indonesia
[2] Sanata Dharma Univ, Dept Math, Yogyakarta, Indonesia
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL, INFORMATICS AND ITS APPLICATIONS (IC3INA) | 2018年
关键词：
dengue fever; aedes aegypti; optimal control; artificial neural networks; dynamic programming;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The purpose of this research is to simulate the effectiveness of temephos and fumigation usage in reducing the growth of Aedes Aegypti as a vector for dengue viruses. The formulated optimization problem is then solved using neurodynamic programming method, a combination of artificial neural networks and dynamic programming.
引用
收藏
页码：169 / 174
页数：6
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